The use of artificial intelligence in banking processes, the results of the first large-scale implementations and the conditions necessary for the further development of this technology were among the topics discussed by Deloitte experts during the 16th European Financial Congress. Examples presented during the event show that AI-based solutions can reduce the analysis of credit documentation from nearly ten hours to just a few minutes, increase the efficiency of KYC and AML processes by up to five times, and automate the handling of some cases submitted to contact centres. The growing use of such technologies is directing the attention of the financial sector towards issues related to data, infrastructure and technological sovereignty, all of which will influence the pace of further transformation.<\/p>\n
Banking is one of the industries adopting tools based on generative artificial intelligence most rapidly. Large language models already support document analysis, credit processes, activities related to anti-money laundering and know-your-customer procedures, customer service and complaint management. As a result, AI is affecting both operational efficiency and the speed of decision-making.<\/p>\n
\u201cThree years ago, we were mainly talking about experiments, testing models and looking for use cases for generative artificial intelligence. The next stage involved building strategies and assessing the business value of projects. Today, however, we are talking about solutions implemented in production and about processes in which AI performs tasks under human supervision. This is a very dynamic change \u2014 other technologies previously needed more than a decade to reach a similar level of maturity,\u201d says Tomasz Filipek, CE GenAI Investment Programme Lead at Deloitte.<\/p>\n
In the introduction to the debate \u201cAI-first \u2014 competitive advantage or a new arms race in banking?\u201d, moderated by Tomasz Filipek, specific data and the scale of changes taking place in financial organisations were presented. In one project carried out by Deloitte using AI to support credit processes, document analysis time was reduced from 9.8 hours to between 4 and 10 minutes. In the area of complaints, the use of artificial intelligence reduced workload by around 60%, while maintaining compliance with regulatory requirements. Solutions supporting KYC and AML processes, in turn, increase work efficiency by three to five times.<\/p>\n